seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27193127483 | from collections import namedtuple
import re
import string
import logging
import pickle
class Files:
dictionary = "dataset/nettalk.data"
top1000words = "dataset/nettalk.list"
continuous = "dataset/data"
Word = namedtuple('Word', ['letters', 'phonemes', 'structure', 'correspondance'])
all_letters = strin... | dtingley/netwhisperer | corpus.py | corpus.py | py | 5,330 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 144,
"usage_type": "call"
},
{
"api_name": "re.... |
9862393543 | import random
from flask import Flask, render_template, request
import tensorflow as tf
import numpy as np
from io import BytesIO
from PIL import Image
import base64
import os
# initiates flask app
app = Flask(__name__)
tf.get_logger().setLevel('ERROR')
model = None
model = tf.keras.models.load_model("prod_model.h5... | joeschueren/SketchDetect | main.py | main.py | py | 4,108 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "... |
42528330524 | import requests
from bs4 import BeautifulSoup
import re
import json
import sys
import eventlet
import concurrent.futures
import Constants
class Scraper:
def __init__(self, url_to_check):
self.BASE_URL = url_to_check
self.dictionary = {}
@staticmethod
def get_html(url):
try:
... | Hayk1997gh/Broken_Link_Checker | Scraper.py | Scraper.py | py | 3,659 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "Constants.WEB... |
31691135600 | """
Module: libfmp.c8.c8s1_hps
Author: Meinard Müller, Frank Zalkow
License: The MIT license, https://opensource.org/licenses/MIT
This file is part of the FMP Notebooks (https://www.audiolabs-erlangen.de/FMP)
"""
from collections import OrderedDict
import numpy as np
from scipy import signal
import librosa... | christofw/pitchclass_mctc | libfmp/c8/c8s1_hps.py | c8s1_hps.py | py | 8,127 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "scipy.signal.medfilt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "scipy.signal.medfilt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.signal",... |
423347793 | import numpy as np
import yfinance as yf
import ta
import pandas as pd
from ta.trend import ADXIndicator
import pyxirr
def get_clean_df(ticker):
df = yf.Ticker(ticker).history(
period="10y").reset_index()[["Date", "Close", "Dividends", 'High', "Low"]]
df["Close"] = yf.download(tickers=ticker, period=... | victormorizon/stable-dividend-stock-trading-strategy | functions.py | functions.py | py | 5,229 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "yfinance.Ticker",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "yfinance.download",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ta.momentum.RSIIndicator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ta.momentu... |
24669291411 | import requests, json
import pandas as pd
import os
from datetime import date
#from mysql.connector import connect, Error
from flatten_json import flatten
from airflow.models import Variable
'''
Connects to the edamam API and sends a request
Return: The response object from the API query
'''
def airflow_var_test( ti... | JoshusTenakhongva/Mentorship_Repo | food_at_home/dags/airflow_functions.py | airflow_functions.py | py | 5,053 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "airflow... |
32262924755 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('polls', '0011_response'),
]
operations = [
migrations.RemoveField(
model_name='question',
name='weig... | mikelaughton/harold | polls/migrations/0012_auto_20160804_0005.py | 0012_auto_20160804_0005.py | py | 630 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
35217766012 | from itertools import product
import sys
from bs4 import BeautifulSoup
from selenium import webdriver
import time
import json
import random
sys.path.append('../..')
from lib import excelUtils
from lib import httpUtils
from lib import textUtil
from lib.htmlEleUtils import getNodeText
from lib.htmlEleUtils import getInn... | Just-Doing/python-caiji | src/work/20230110/bio-fount.py | bio-fount.py | py | 4,549 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium... |
38097195752 | import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import numpy as np
import pickle
import time
from os.path import exists
from GaslightEnv import GaslightEnv
from stable_baselines3 import PPO, TD3
from stable_baselines3.common.callbacks import CheckpointCallback
from stable_baselines3.common.e... | RajatSethi2001/Gaslight | GaslightEngine.py | GaslightEngine.py | py | 6,819 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "stable_baselines3.common.callbacks.CheckpointCallback",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 37,
"usage_type": "call"
},
{
"a... |
30176950739 | from functools import cache
def najcenejsa_pot(mat):
m, n = len(mat), len(mat[0])
@cache
def pomozna(i, j):
if i == m - 1 and j == n - 1:
return (mat[-1][-1], "o")
else:
moznosti = []
if i < m - 1:
cena_dol, pot_dol = pomozna(i + 1, j)
... | matijapretnar/programiranje-1 | 13-memoizacija-v-pythonu/predavanja/pot.py | pot.py | py | 772 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "functools.cache",
"line_number": 5,
"usage_type": "name"
}
] |
6172988761 | from google.cloud import texttospeech
from pydub import AudioSegment
from pydub.playback import play
google_credentials_file = "PATH_TO_YOUR_GOOGLE_CREDENTIALS_JSON"
# Set the environment variable for Google Text-to-Speech API
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = google_credentials_file
# Initialize Google... | qiusiyuan/gpt-live-stream | src/bilibiligptlive/tts.py | tts.py | py | 1,133 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "google.cloud.texttospeech.TextToSpeechClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "google.cloud.texttospeech",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "google.cloud.texttospeech.SynthesisInput",
"line_number": 14,
"usa... |
32846235212 | #Goal of this project is to make a song that we like on youtube go directly to our spotify "liked youtube songs" playlist
""" STEPS
1 - Log into youtube
2 - Grab our playlist
3 - Create a new playlist
4 - Search the song
5 - Add the song to the spotify playlist
"""
import json
import os
import google_auth_oauthlib.fl... | GiovaniCenta/YoutubetoSpotify | spotyoutube.py | spotyoutube.py | py | 6,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "google_auth_oauthlib.flow.flow.InstalledAppFlow.from_client_secrets_file",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "google_auth_oauthlib.flow.flow",
"line_number": 47,
... |
16515229074 | import time
from werkzeug.wrappers import Response
import netmanthan
import netmanthan.rate_limiter
from netmanthan.rate_limiter import RateLimiter
from netmanthan.tests.utils import netmanthanTestCase
from netmanthan.utils import cint
class TestRateLimiter(netmanthanTestCase):
def test_apply_with_limit(self):
n... | netmanthan/Netmanthan | netmanthan/tests/test_rate_limiter.py | test_rate_limiter.py | py | 3,663 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "netmanthan.tests.utils.netmanthanTestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "netmanthan.conf",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "netmanthan.rate_limiter.apply",
"line_number": 15,
"usage_type": "call"
... |
73325698663 | from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn import tree
import pydotplus
iris = load_iris()
iris_X = iris.data
iris_Y = iris.target
X_train, X_test, y_train, y_test = train_test_split(
iris_X, iris_Y, test_size=0.3)
clf = tree.DecisionTreeClassifier()
c... | beancookie/sklearn | tree.py | tree.py | py | 473 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 12,
"usage_type": ... |
2986533119 |
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
import time
from constants import URL
def get_product_properties(browser):
properties = {}
search_result = browser.find_element(By.CLASS_NAME, "sooqrSearchResults")
title = search_result.fin... | Felix-95/programming_challenge | src/scraper.py | scraper.py | py | 3,238 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 1... |
72516592744 | import time
import datetime
from timeit import default_timer as timer
import settings
from pymongo import MongoClient
from faker import Faker
from bson.decimal128 import Decimal128
import random
fake = Faker()
####
# Start script
####
startTs = time.gmtime()
start = timer()
print("================================")
p... | blainemincey/generate_sample_data | generate_transactions_data.py | generate_transactions_data.py | py | 2,781 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"lin... |
35860587241 | from fastapi import FastAPI, Depends
from sqlalchemy.orm import Session
from typing import List, Optional
from database import SessionLocal, engine
import models, schemas, crud
# データベース作成
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
def get_db():
db = SessionLocal()
try:
yield db
... | ishi23/fastapi-streamlit | conf_app_test/sql_app/main.py | main.py | py | 3,816 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Base.metadata.create_all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Base",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "database.engine",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fastapi... |
14029297694 | import asyncio
import datetime
import os
import discord
from new_skyline2 import SKYLINE
token = os.environ['token']
loop = asyncio.get_event_loop()
client = SKYLINE(loop=loop, intents=discord.Intents.all())
async def main():
now = datetime.datetime.utcnow()
endtime = now.replace(hour=17, minute=1, second=... | Kesigomon/Skyline_py | run.py | run.py | py | 870 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "new_skyline2.SKYLINE",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.In... |
19082484272 | import cv2
import sys
import numpy as np
class Context:
def __init__(self):
self.sliders = {}
self.toggles = {}
self._redraw = False
self.cur_buf_id = 0;
self.buffers = []
self.buffers_by_name = {}
self._once = []
self._store = {}
cv2.namedWi... | Phaiax/sudoku | src/context.py | context.py | py | 3,957 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.namedWindow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
"... |
14054446569 | import numpy as np
import cv2
from .kalman import Kalman
#https://github.com/uoip/monoVO-python
def get_R(alpha):
M = np.array([[np.cos(np.pi*alpha/180), np.sin(np.pi*alpha/180)],
[-np.sin(np.pi*alpha/180), np.cos(np.pi*alpha/180)]
])
return M
def show_direction(image, t, M):
line_thic... | vvabi-sabi/drone_RK3588 | addons/odometry/odometry.py | odometry.py | py | 2,434 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 9,
... |
39914551744 | from fastapi import APIRouter, HTTPException, Request
from utils.model import *
from services.camera_service import camera_service
from services.server_service import server_service
import requests
import threading
router = APIRouter(prefix="/camera")
@router.get("/{server_name}")
async def get_camera(server_name: st... | ngocthien2306/be-cctv | src/router/camera_router.py | camera_router.py | py | 4,936 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "services.server_service.server_service.get_by_server_name",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "services.server_service.server_service",
"line_number": 12,
"u... |
31524035648 | import pandas as pd
import numpy as np
from typing import List
from loguru import logger
from meche_copilot.utils.num_tokens_from_string import num_tokens_from_string
def combine_dataframe_chunks(dfs: List[pd.DataFrame]) -> pd.DataFrame:
if all(df.shape[1] == dfs[0].shape[1] for df in dfs):
return pd.conca... | fuzzy-tribble/meche-copilot | meche_copilot/utils/chunk_dataframe.py | chunk_dataframe.py | py | 4,373 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"lin... |
23382530066 | # -*- coding: utf-8 -*-
import re
import json
import time
import scrapy
import requests
import itertools
from lxml import etree
from hashlib import md5
from overseaSpider.items import ShopItem, SkuAttributesItem, SkuItem
from overseaSpider.util.scriptdetection import detection_main
from overseaSpider.util.utils import... | husky-happy/templatespider | overseaSpider/spiders/xg/samys.py | samys.py | py | 6,903 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "overseaSpider.util.utils.isLinux",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "re.S",... |
3784075084 | ###############################################################################
# make park model
###############################################################################
import cantera as ct
import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import rmgpy
from rmgpy.data.thermo im... | comocheng/meOH-analysis | External_data/park_et_al_model_reconstruction/make_park_model.py | make_park_model.py | py | 14,690 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rmgpy.species.Species",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rmgpy.species.Species",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "rmgpy.kinet... |
23002903726 | import sqlite3
connection = sqlite3.connect('databasePeças.db')
c = connection.cursor()
def CREATE():
# PEÇA #
c.execute('CREATE TABLE IF NOT EXISTS PECA (\
`codigo` VARCHAR(5) NOT NULL,\
`nomeSingular` VARCHAR(25) NOT NULL,\
`nomePlural` VARCHAR(25) NOT NULL,\
`gene... | GilbertoMJ/Projeto-Andaimes | Scripts Banco de Dados/criar_database_Peça.py | criar_database_Peça.py | py | 473 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
7813711056 | """clean up unused tables
Create Date: 2022-05-02 17:19:09.910095
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "20220502_171903"
down_revision = "20220425_225456"
branch_labels = None
depends_on = None
def upgrade():
op.drop_table("region_types", schema="aspen")
op.drop_ta... | chanzuckerberg/czgenepi | src/backend/database_migrations/versions/20220502_171903_clean_up_unused_tables.py | 20220502_171903_clean_up_unused_tables.py | py | 1,530 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
15826519032 | import json
import logging
logging.basicConfig(level=logging.DEBUG)
import argparse
import uuid
import emission.storage.decorations.user_queries as esdu
import emission.net.ext_service.push.notify_usage as pnu
import emission.net.ext_service.push.query.dispatch as pqd
import emission.core.wrapper.user as ecwu
import e... | e-mission/e-mission-server | bin/monitor/prompt_upgrade_to_latest.py | prompt_upgrade_to_latest.py | py | 4,640 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "emission.net.ext_service.push.query.dispatch.get_query_fn",
"line_number": 14,
"usage_type": "call"
... |
39157550873 | #!/usr/bin/env python3
import click
import sys
from pathlib import Path
from RecBlast.RecBlast import RecSearch
import RecBlast.WarningsExceptions as RBWE
def deduce_searchtype(query_type, db_type, search_algorithm):
# a bit of cleaning
query_type = query_type.lower()
db_type = db_type.lower()
search... | docmanny/smRecSearch | code/rbb.py | rbb.py | py | 6,528 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "RecBlast.WarningsExceptions.SearchEngineNotImplementedError",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "RecBlast.WarningsExceptions",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 86,
"usage_type": "... |
43110008124 | from codecs import open
from os import path
import re
from setuptools import setup, find_packages
dot = path.abspath(path.dirname(__file__))
# get the dependencies and installs
with open(path.join(dot, 'requirements.txt'), encoding='utf-8') as f:
all_reqs = f.read().split('\n')
install_requires = [x.strip() for ... | rarescosma/env.cloudy | setup.py | setup.py | py | 1,466 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number":... |
36684803245 | import pandas as pd
import tekore as tk
from config import CLIENT_ID, CLIENT_SECRET
class SpotifyData:
def get_one_song_data(self, query):
token = tk.request_client_token(CLIENT_ID, CLIENT_SECRET)
spotify = tk.Spotify(token)
searched_track = spotify.search(query, types=('track',), market=... | SINEdowskY/spotify-songs-classification | spotify_data.py | spotify_data.py | py | 3,351 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tekore.request_client_token",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.CLIENT_ID",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "config.CLIENT_SECRET",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name":... |
30568657844 | import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["text.usetex"] = True
LEGEND_FONTSIZE = 20
TICK_LABEL_FONTSIZE = 20
AXIS_LABEL_FONTSIZE = 20
TITLE_FONTSIZE = 20
CHART_SIZE = [10, 6]
LONG_CHART_SIZE = [10, 10]
def do_nothing_Rt_plot(Rt_dict, fname=None, ps=True):
fig, ax = plt.subplots(1, 1, figs... | jvanyperen/exploring-interventions-manuscript | plotting_scripts/do_nothing_plots.py | do_nothing_plots.py | py | 3,549 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
2922309209 | import numpy as np
import json
def dump_to_file(arrays, filename):
arrays_for_dump = {}
for key, array in arrays.items():
if isinstance(array, np.ndarray):
arrays_for_dump[key] = array.tolist()
else:
arrays_for_dump[key] = array
if isinstance(array, dict):
try:
for k,v i... | sdemyanov/tensorflow-worklab | classes/utils.py | utils.py | py | 951 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_numbe... |
32259680615 | # pylint: disable=W0613
from flask import request
from injector import inject
from app import app
from app.regali_app.list.application.use_cases import (
get_gift_list,
get_gift_lists,
delete_gift_list,
create_gift_list,
delete_gift_list_element,
create_gift_list_element
)
from app.regali_app.s... | MikelDB/regali-app | api/app/regali_app/shared/infrastructure/routes/giftlist.py | giftlist.py | py | 2,209 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.regali_app.list.application.use_cases.create_gift_list.UseCase",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "app.regali_app.list.application.use_cases.create_gift_list",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "app.regali_app... |
30715666439 | import math
from typing import List
import os
from app.resources.logger import logger
def get_block_entropy(block: bytes, block_size: int) -> float:
# start counters
counters = {byte: 0 for byte in range(2 ** 8)}
for byte in block:
counters[byte] += 1
# calculate probabilities for each byte
... | jstrah00/entropy-service | app/entropy/entropy.py | entropy.py | py | 1,960 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "math.log2",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number":... |
71760953383 | """module used to create a matrix containing the distances between the postcodes that specify the locations of the
specified geographies"""
import os
import pandas as pd
from math import radians, sin, cos, sqrt, atan2
import csv
import datetime as dt
def calc_dist(inlat1, inlat2, inlong1, inlong2):
"""simple fu... | ONSdigital/FOCUS | matrix_generation.py | matrix_generation.py | py | 3,360 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "math.radians",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_numbe... |
15855737914 | import threading
import socket
import json
import termcolor
import time
import numpy as np
import pandas as pd
host = '127.0.0.1'#server ip
port = 5555 #server port
#Create a new socket using the given address family, socket type and protocol number.
#ipv4 family
#TCP (SOCK_STREAM) is a connection-based protocol. The ... | adnankarim/python_socket_chat_client_client | server.py | server.py | py | 4,451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "socket.socket",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "socket.SOL_... |
35692497306 | from django.contrib.auth.models import User
from django.http import HttpResponseRedirect
from django.views.generic import FormView
from atelier.models import Profile
from django.views import generic
from atelier.forms import ProfileRegisterForm, ProfileChangeForm
from django.urls import reverse_lazy
from atelier.views.... | Vitamal/vokss | atelier/views/profile_view.py | profile_view.py | py | 3,721 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "atelier.views.base_view.TailorPermissionPreMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "atelier.views.base_view.AtelierFilterObjectsPreMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "atelier.views.base_view.BaseDetailView",
... |
8688324279 | import sys
import gammalib
from utils import *
import numpy as np
import matplotlib.pyplot as plt
# first input is XML file name
models = gammalib.GModels(sys.argv[1])
# second and third input are minimum and maximum energy in TeV
emin = float(sys.argv[2])
emax = float(sys.argv[3])
lons, lats, radii, fluxes, names = ... | cta-observatory/cta-gps-simulation-paper | skymodel/scripts/logNlogS_fromgammalib.py | logNlogS_fromgammalib.py | py | 1,141 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gammalib.GModels",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_numbe... |
19075073256 | import matplotlib.pyplot as plt
import math
def pre_processing(filename):
file = open(filename)
lines = file.readlines()
cities = [[]]
n = int(lines[0])
for l in lines[1:]:
cities.append(list(map(float, l.split())))
adj_mat = [[None] * (n+1) for i in range(n+1)]
x = [float(i[0]) ... | LouisYLWang/Algorithms | Traveling_salesman_problem/tsp.py | tsp.py | py | 2,261 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ma... |
1535928941 | import os
import logging
import shutil
import json
from packratAgent.Collection import Collection
from packratAgent.LocalRepoManager import LocalRepoManager, hashFile
MODULE_OWNER = 'packrat'
class AnsibleGalaxyManager( LocalRepoManager ):
def __init__( self, *args, **kargs ):
super().__init__( *args, **karg... | pnhowe/packrat-agent | packratAgent/AnsibleGalaxyManager.py | AnsibleGalaxyManager.py | py | 4,856 | python | en | code | null | github-code | 36 | [
{
"api_name": "packratAgent.LocalRepoManager.LocalRepoManager",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name... |
2251848233 | import argparse
import pygame as pg
def create_circle(size, circle_color, background_color, filename):
# margin = int(0.1 * size)
margin = 0
screen = pg.display.set_mode((2 * size + margin, 2 * size + margin))
screen.fill(background_color)
x = screen.get_width() // 2
y = screen.get_height() // 2
pg.draw... | thbeucher/Games | life_games/create_image.py | create_image.py | py | 2,507 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.circle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.d... |
5750408592 | import nltk
from nltk.tokenize import sent_tokenize
nltk.download('stopwords')
nltk.download('punkt')
nltk.download('gutenberg')
from tqdm import tqdm
import string
from collections import Counter
from flair.models import SequenceTagger
from flair.data import Sentence
book = nltk.corpus.gutenberg.raw('carroll-alice.t... | francelow/eBookSummarizer | NER_model.py | NER_model.py | py | 2,245 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.download",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.gutenberg.raw",
... |
74050091304 | from tempfile import NamedTemporaryFile
from typing import Any, Dict, List, Tuple
from parlai.core.image_featurizers import ImageLoader
from parlai.core.message import Message
from parlai.core.worlds import validate
from parlai.crowdsourcing.tasks.model_chat.utils import Compatibility, get_image_src
from parlai.crowds... | facebookresearch/ParlAI | parlai/crowdsourcing/tasks/model_chat/worlds_image_chat.py | worlds_image_chat.py | py | 5,459 | python | en | code | 10,365 | github-code | 36 | [
{
"api_name": "parlai.crowdsourcing.tasks.model_chat.worlds.BaseModelChatWorld",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "parlai.core.message.Message",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "parlai.crowdsourcing.tasks.model_chat.utils.get_image... |
1428891150 | import argparse
import shutil
import numpy as np
from matplotlib import image,pyplot
import os
import cv2
import json
parser = argparse.ArgumentParser()
parser.add_argument('--MaskedImageFolder', type=str)
parser.add_argument('--FullImageFolder', type=str)
args = parser.parse_args()
pathX = os.path.join(args.MaskedIm... | unlugi/gen-inpainting-eccv | prepare_dataset_2.py | prepare_dataset_2.py | py | 2,188 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"... |
43777238511 | import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
import time
MIN_MATCH_COUNT = 10
img_sample = cv.cvtColor(cv.imread("./img/dataset/9.png",cv.IMREAD_COLOR),cv.COLOR_BGR2GRAY)
img_q = cv.cvtColor(cv.imread("./img/query/3.png",cv.IMREAD_COLOR),cv.COLOR_BGR2GRAY)
sift = cv.SIFT_create()
keypoints_1... | Laurie-xzh/AI-Practice | CV/Point_Feature_Match/test.py | test.py | py | 2,845 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"... |
15560983692 | import argparse
import os
import subprocess
import sys
from pathlib import Path
_SWIFT_PATH = Path(__file__).resolve().parents[1]
_KNOWN_SCRIPT_PATHS = [
_SWIFT_PATH / "benchmark/scripts/Benchmark_Driver",
_SWIFT_PATH / "benchmark/scripts/Benchmark_DTrace.in",
_SWIFT_PATH / "benchmark/scripts/Benchmark_G... | apple/swift | utils/python_format.py | python_format.py | py | 4,666 | python | en | code | 64,554 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "os.devnull",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
... |
42491959106 | """
10:05 시작
"""
import sys
import copy
from collections import deque
def func():
N, L, R = map(int, sys.stdin.readline().split())
land = []
for i in range(N):
land.append(list(map(int, sys.stdin.readline().split())))
if N == 1:
return 0
time = 0
while time < 2000: # 200... | Mugamta/Boostcamp_AITech5_CV11 | 3.22/서지훈_백준_16234_인구이동.py | 서지훈_백준_16234_인구이동.py | py | 2,430 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdin.readline",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
... |
21159376882 | #!/usr/bin/env python
# coding: utf-8
# In[193]:
get_ipython().run_line_magic('matplotlib', 'inline')
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LogisticRegression
from matplotlib.colors import ListedColormap
import pickle
'''
このプログラムはCSVファイルから読み込んだデータから機械... | nagnag0707/hr_ai_solution_test | test_sklearn.py | test_sklearn.py | py | 2,092 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name"... |
16128455391 | import secure
from fastapi import FastAPI
from webhooktesting.routes import diagnostics, core
app = FastAPI()
server = secure.Server().set("Secure")
hsts = secure.StrictTransportSecurity().include_subdomains().preload().max_age(2592000)
cache_value = secure.CacheControl().must_revalidate()
secure_headers = secure.S... | Brightmd/WebhookTesting | src/webhooktesting/main.py | main.py | py | 627 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "secure.Server",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "secure.StrictTransportSecurity",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "secure.Cach... |
33204018569 | import numpy as np
from numpy.linalg import qr
from scipy.special import erfc
from scipy.linalg import hadamard
from ..config import *
def getMatrix(dim, k, res, rowSpace = 'random', spectrum = 'smooth gap',
returnSVD = False, coherenceScalar = .1, steepness = 1):
#Check for valid inputs
a... | alexbuzali2233/RandomLowRank-Alex | src/helpers/getMatrix.py | getMatrix.py | py | 2,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linalg.qr",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.qr... |
43303341114 | import py
import random
from collections import OrderedDict
from hypothesis import settings, given, strategies
from hypothesis.stateful import run_state_machine_as_test
from rpython.rtyper.lltypesystem import lltype, rffi
from rpython.rtyper.lltypesystem import rordereddict, rstr
from rpython.rlib.rarithmetic import ... | mozillazg/pypy | rpython/rtyper/test/test_rordereddict.py | test_rordereddict.py | py | 22,081 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "rpython.rtyper.lltypesystem.rordereddict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rpython.rtyper.lltypesystem.rffi.cast",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rpython.rtyper.lltypesystem.rffi",
"line_number": 24,
"usa... |
29351919666 | from urllib.request import urlopen
import datetime
import ast, csv
import pandas as pd
# 获取今日日期（年月日）
today = datetime.date.today()
year = str(today.year)
month = str(today.month)
monthsub = str(today.month-1) # 用于大连商品交易所特殊的月份（比当前月份少一个月）
# 将少于10的日期前加上0
if today.month < 10:
month0 = '0'+month
else:
month0 = mont... | Katrina0406/My-Projects | autoDownload/lastestPrice/autodownload.py | autodownload.py | py | 7,490 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "datetime.date.today",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_eval",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter"... |
8648522966 | import os, shutil
from pathlib import Path
from tqdm import tqdm
import pickle
import torch
import numpy as np
from IDSL_MINT.utils.MINT_aggregate import MINT_peak_aggregate
from IDSL_MINT.utils.msp_file_utils import MINT_address_check
def FP2MS_DataLoader(pkl_deconvoluted_msp_directory, max_number_ions_per_batch):
... | idslme/IDSL_MINT | IDSL_MINT/FP2MS/FP2MS_DataLoader.py | FP2MS_DataLoader.py | py | 2,433 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "IDSL_MINT.utils.msp_file_utils.MINT_address_check",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": 18,
"usage_type": "call"
},
{
"api_... |
19696374653 | import json
import logging
import uuid
import sys
sys.path.append('..')
import errors
from errors import build_response
from models.user_model import UserModel
from models.task_model import TaskModel
from models.task_list_model import TaskListModel
from pynamodb.exceptions import UpdateError, ScanError, GetError
# log... | shimoch-214/todo_api | users/tasks_taskLists.py | tasks_taskLists.py | py | 2,381 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"li... |
15949680682 | import argparse
import os
import pandas as pd
import pathlib
parser = argparse.ArgumentParser(
description="Aggregate simulation results",
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("name", type=str,
help="name of the run")
args = vars(parser.parse_args())
... | matthieubulte/MAR | scripts/aggregate_sim_results.py | aggregate_sim_results.py | py | 1,071 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
... |
14114807410 | import sys
from collections import deque
def bfs():
queue = deque()
visited = [[False for _ in range(M)] for _ in range(N)]
visited[0][0] = True
queue.append(((0, 0), 1)) # ((x, y), dist)
while queue:
cur_node = queue.popleft()
curX, curY = cur_node[0]
cur_dist = cur_no... | nashs789/JGAlgo | Week02/Q2178/Q2178_Inbok.py | Q2178_Inbok.py | py | 1,041 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline... |
4671586615 |
import datetime as dt
from collections import defaultdict
from itertools import chain
import logging
from difflib import get_close_matches, SequenceMatcher
from sqlalchemy import and_
from footie_scores import settings
from footie_scores import utils
from footie_scores.utils.footie import score_from_events
from foot... | fdav10/football-scores | footie_scores/interfaces/db_to_web.py | db_to_web.py | py | 6,904 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "footie_scores.settings.OVERRIDE_TIME",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "footie_scores.settings",
"line_number": 19,
"usage_type": "name"
},
{
... |
18134982980 | from datetime import datetime as dt
from datetime import timedelta
import time
import numpy as np
import pandas as pd
import pytz
def gps_to_datetime(gps_time):
def toYearFraction(date):
def sinceEpoch(date): # returns seconds since epoch
return time.mktime(date.timetuple())
s = sinceE... | jonbowr/pyMAP | pyMAP/tools/time.py | time.py | py | 2,050 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "time.mktime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"li... |
73518708263 | import os
import json
curr_dir = os.path.dirname(os.path.abspath(__file__))
def write_order_to_json(item, quantity, price, buyer, date):
filename = os.path.join(curr_dir, 'orders.json')
with open(filename, 'r', encoding="utf-8") as file:
data = json.loads(file.read())
data['orders'].append({'ite... | Kederly84/async_chat_python | HomeWork2/Task2/Task_2.py | Task_2.py | py | 679 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
19407950160 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import pyqt_fit.nonparam_regression as smooth
from pyqt_fit import npr_methods
import Path
path = Path.GetHomePath()
DataName = "SimulationResults/RData_Lobster.csv"
SaveStarter = "SimulationResults/FOI_Pics/Lobster/Lobster_"
a = pd.r... | matthewosborne71/NetworkSimulations | PicCode/MakePicCode/MakeLobsterPics.py | MakeLobsterPics.py | py | 1,907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Path.GetHomePath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
28972280127 | import twitter, datetime #importing the libaries
import urllib2
file = open("keys.txt") #reading in the twitter credentials and splitting them up
creds = file.readline().strip().split(',')
currentSession = open("/Users/tobystimpson/Library/Application Support/Google/Chrome/Default/Current Session") #finding the curre... | Spaceinvadini/Python | twitter/tweeting.py | tweeting.py | py | 963 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "twitter.Api",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
}
] |
1128012119 |
import os
from copy import deepcopy
from secrets import token_urlsafe
import numpy as np
import torch
from torch import nn
from tqdm.auto import tqdm
from torch.utils.data import Dataset, DataLoader
class nnModule_with_fit(nn.Module):
def fit(self, train, val, iterations=10_000, batch_size=256, loss_kwargs={},... | GerbenBeintema/metaSI | metaSI/utils/fitting.py | fitting.py | py | 11,726 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 28,
"usage_type": "argument"
},
{
"api_name": "torch.util... |
42893075767 | # _*_ coding: utf-8 _*_
"""
Created by Allen7D on 2020/4/10.
"""
__author__ = 'Allen7D'
import hashlib
import os
from flask import current_app
from werkzeug.datastructures import FileStorage
from app.libs.error_code import FileTooLargeException, \
FileTooManyException, FileExtensionException, ParameterExceptio... | Allen7D/mini-shop-server | app/core/file.py | file.py | py | 5,999 | python | en | code | 663 | github-code | 36 | [
{
"api_name": "werkzeug.datastructures.FileStorage",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "uuid.uuid1",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "werkzeug.d... |
70653037864 | from djoser.serializers import UserSerializer
from rest_framework import serializers
from django.contrib.auth.models import User
from .models import Cart, Category, MenuItem, Order, OrderItem
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = ['id', 'tit... | lzytourist/LittleLemon | LittleLemonAPI/serializers.py | serializers.py | py | 2,915 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Category",
"line_number": 11,
"usage_type": "name"
},
... |
35941125845 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 30 16:21:28 2018
@author: bob.lee
"""
import docx
import re
import xlrd
import os
from xlwt import Workbook
DATA_HOME = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, 'temp/'))
if not os.path.isdir(DATA_HOME):
os.mkdir(DAT... | lidunwei12/biao | src/step_two/content_create.py | content_create.py | py | 5,519 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line... |
15596002112 | #!/usr/bin/python
"""Estimate conditional probability distributions from walk data.
The point of this program is to compute random walk probabilities over a
graph. This is a simplified problem based on `walk_analyzer.py`. This
program finds the conditional probabilities of reaching a node given a
particular start n... | byu-aml-lab/mrs-mapreduce | examples/contrib/walk_analyzer/conditional_prob.py | conditional_prob.py | py | 6,367 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "struct.Struct",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "mrs.MapReduce",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.stat",
"lin... |
30240198017 | import nltk
import pandas
import os
import json
import multiprocessing
targetPosts = 'processed_data/posts.csv'
posts_output = 'processed_data/posts_tokenized.json'
targetNodes = 'processed_data/nodes.csv'
nodes_output = 'processed_data/nodes_tokenized.json'
def processLine(l):
return json.dumps(nltk.word_tokeni... | reidmcy/csc-2611-final-project | scripts/tokenize_posts.py | tokenize_posts.py | py | 1,642 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"... |
69930858666 | import tweepy
consumer_key = "entering the key here"
consumer_secret = "entering the key here"
access_token = "entering the key here"
access_token_secret = "entering the key here"
from tweepy.auth import OAuthHandler
#Creating the Auth Object
auth = OAuthHandler(consumer_key, consumer_secret)
#Setting the access toke... | JaySRT/Twitter-Sentiment-Analysis | Keyword_based_search.py | Keyword_based_search.py | py | 862 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tweepy.auth.OAuthHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
}
] |
11297199192 | import math
import cv2
import numpy as np
import subprocess
import imghdr
import traceback
import os
# finds angle between robot's heading and the perpendicular to the targets
class VisionTargetDetector:
# initilaze variables
def __init__(self, input):
self.input_path = input
try:
# if input is a camera po... | rithue/DepthCamera | cv.py | cv.py | py | 5,497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_n... |
17832877059 | from flask import Blueprint, jsonify, request
from jwt_functions import write_token, validate_token, decode
import bcrypt
from os import getenv
from dotenv import load_dotenv
routes_users = Blueprint('routes_users', __name__)
@routes_users.route('/signup', methods=['POST'])
def signup():
from api import db
e... | CesarMtzV/Hajime-Web | server/api/routes/users.py | users.py | py | 4,036 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "api.db.users.find_one",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.db.users",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "api.db",
"... |
43328312480 | from django.urls import path, re_path
from .views import MainPageView, ArticlePageView, CreateArticle, redirect_m
urlpatterns = [
path('news/', MainPageView.as_view()),
path('', redirect_m),
re_path('news/create/', CreateArticle.as_view()),
re_path('news/(?P<number_of_link>[^/]*)/?', ArticlePageView.as... | maksimkamekspeks/Jet-Brains | HyperNews Portal/task/news/urls.py | urls.py | py | 384 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.MainPageView.as_view",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.MainPageView",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.ur... |
17453371949 | import os
import json
from subslide import Cutter
json_path = '/media/ldy/e5a10f4e-18fd-4656-80d8-055bc4078655/OSCC_gl/trainval_test_slide.json'
file_dir = '/media/ldy/7E1CA94545711AE6/OSCC/coarse-key/orig_data/'
mask_dir = '/media/ldy/7E1CA94545711AE6/OSCC/coarse-key/seg/filtered_mask/'
anno_dir = '/media/ldy/7E1CA9... | yida2311/OSCC_SF | subslide/test.py | test.py | py | 1,777 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subslide.Cutter",
"line_number": 29,
"usage_type": "call"
}
] |
21009255890 | from collections import OrderedDict
import hydra
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import utils
class Encoder(nn.Module):
def __init__(self, obs_shape):
super().__init__()
assert len(obs_shape) == 3
self.repr_dim = 32 * 35 * 35
... | Rooshy-yang/Four_Room_For_Exploartion | agent/sarsa.py | sarsa.py | py | 4,277 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
27187115333 | import array as arr
import pandas as pd
import numpy as np
import random
from run_dclamp_simulation import run_ind_dclamp
from cell_recording import ExperimentalAPSet
from multiprocessing import Pool
from scipy.stats import lognorm
from algorithms import eaMuCommaLambda
from deap import base
from deap import creator
... | dtilley/EA_fit_to_AP_set | scratch.py | scratch.py | py | 5,078 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
72748742823 | import pygame
from src import constants
class Button:
def __init__(self, text, size, position, action):
self.action = action
self.rect = pygame.Rect((0, 0), size)
self.rect.center = position
self.idle_image = pygame.Surface(size, pygame.SRCALPHA)
self.hover_image = self.id... | Farbfetzen/dimetric | src/button.py | button.py | py | 2,487 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.Rect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.SRCALPHA",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
... |
7477122277 | import urllib.request
import time
from lxml import etree
from selenium import webdriver
from utils.Utils import url_request
import chardet
# 资源解析类
# 百度搜索解析
# return: dic_source{}
def baidu_search(word='', pagesNum=3, sleep=2):
baidu_dic_source = {} # 百度元素资源
driver = webdriver.Chrome()
# driver = webd... | AnubisASN/IVA_C | utils/Parsing.py | Parsing.py | py | 4,485 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HT... |
17883239165 | """
该模块用于承载数据管理的功能，即工作空间。
``DataManager`` 类，其实例就是工作空间，提供了包括添加变量、删除变量、历史记录回溯、历史记录访问量等内容。
该模块在设计时考虑了历史记录功能，不过该功能是否有必要，还有待商榷。
该模块的操作对象为 ``DataAdapter``。
将数据外面包上一层可以确保其元数据的识别等便利性。
关于 ``DataAdapter`` 的详细内容请参见相关文档。
"""
from collections import OrderedDict
from typing import Dict, Tuple, List, Any
from lib.workspace.data_... | pyminer/pyminer | pyminer/lib/workspace/data_manager.py | data_manager.py | py | 8,124 | python | zh | code | 77 | github-code | 36 | [
{
"api_name": "typing.Dict",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "lib.workspace.data_adapter.BaseA... |
15441184700 | import numpy as np
import torch
def squash(x,
squashing_constant=1.,
dim=-1,
eps=1e-7,
safe=True,
p=2,
**kwargs):
if safe:
squared_norm = torch.sum(torch.square(x), axis=dim, keepdim=True)
safe_norm = torch.sqrt(squared_norm + eps)
... | clementpoiret/bagginghsf | bagginghsf/models/helpers.py | helpers.py | py | 3,122 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.sum",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.square",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 29,
... |
41165140913 | # -*- coding: utf-8 -*-
'''
This file is part of Habitam.
Habitam is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
Habitam is distr... | habitam/habitam-core | habitam/downloads/display_list.py | display_list.py | py | 9,863 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "reportlab.lib.pagesizes.A4",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "reportlab.lib.pagesizes.A4",
"line_number": 43,
"usage_type": "name"
},
{
"api_name"... |
72177085225 | #coding = utf-8
import requests
def GET_Token_And_C_Header(URL): #获取token并返回header
id = input("请输入学号：")
password = input("请输入密码：")
url = URL
data={
"student_id": id,
"password": password
}
res = requests.post(url,data).json()
token = res["data"]["token"]
... | czl411/Pair-Programming | 联机游戏/online.py | online.py | py | 2,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_nu... |
40502817176 | # -*- coding: utf-8 -*-
from django.shortcuts import render
from .models import Athlete
from random import shuffle, randrange
from django.http import HttpResponse
# Create your views here.
def index(request):
return render(request, 'draw/index.html')
def submit(request):
name = request.POST.get('name')
... | TJCA/ballot | draw/views.py | views.py | py | 1,763 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Athlete.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Athlete.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
21432524861 | import boto3
def main():
# remember to `$ export AWS_PROFILE=a-profile` & `$ export AWS_REGION=a-region`
# to pick up credentials for this exercise, or set env vars appropriately for AK/SK access
ec2_conn = boto3.client('ec2')
if __name__ == "__main__":
main() | SteveL1/InterviewTest | scripting_py_bash/test.py | test.py | py | 283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.client",
"line_number": 7,
"usage_type": "call"
}
] |
13782307429 | from fastapi import APIRouter
from conn import conn
from model.event import Event
event_router = APIRouter(
prefix="/event",
tags=["event"],
)
@event_router.get("/")
async def read_items(attr: list, where: dict):
cursor = conn.cursor()
sql = Event.querySql(attr=attr, where=where)
cursor.execute(sq... | JulioHey/Banco-de-Dados---EP | server/router/event.py | event.py | py | 1,028 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "conn.conn.cursor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "conn.conn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "model.event.Event.querySq... |
14480873433 | from django.conf import settings
from django.core.mail import send_mail
from mailing_list.models import Contact
def send_email(contact_info: dict):
return send_mail(
subject=f'Hi, {contact_info.get("username")}. You were subscribe on mailing list',
message='Now every day, we are going to send you... | kinfi4/django-examples | src/django-celery/project/mailing_list/service.py | service.py | py | 466 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.core.mail.send_mail",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.EMAIL_HOST_USER",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 11,
"usage_type": "name"
}
] |
44333686531 | from flask import Blueprint
from flask import jsonify
from flask import request
from ..services import BrandService
from ..models import BrandModel
brand = Blueprint('brand', __name__, url_prefix="/brand")
@brand.route('/<int:id>', methods=["GET"])
def get_by_id(id: int):
try:
if request.... | EliezerRamirezRuiz/RestAPI-ecommerce | app/blueprints/brand.py | brand.py | py | 1,942 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "services.Brand... |
20972435328 | import matplotlib.pyplot as plt
import numpy
### load the data for the map intervals in nanoseconds
data1 = numpy.loadtxt("3clients.txt")
data2 = numpy.loadtxt("13clients.txt")
data3 = numpy.loadtxt("103clients.txt")
data4 = numpy.loadtxt("1003clients.txt")
### get the data in milliseconds
milli_data1 = [item / 10000... | abarg12/MinotaurGame | client/test_client/data_client/plot_map_scatter.py | plot_map_scatter.py | py | 1,056 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_numb... |
14042648229 | import pytest
data1 = ['linda', 'sevenruby']
@pytest.fixture(params=data1)
def data2(request):
print("数据准备unpack") # 解包
# return request.param
a = request.param
print(a)
return a
# @pytest.mark.parametrize('data2',data1)
def test_data(data2):
print(data2)
if __name__ == '__main__':
p... | duheng18/python-study | testframework/frameworkDemo/pytestDemoR/review/test_param_fixture3.py | test_param_fixture3.py | py | 465 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.main",
"line_number": 21,
"usage_type": "call"
}
] |
24196970445 | # -*- coding: utf-8 -*-
import clr
clr.AddReference("RevitAPI")
clr.AddReference("System")
from System.Collections.Generic import List
from Autodesk.Revit.DB import FilteredElementCollector as Fec
from Autodesk.Revit.DB import BuiltInCategory as Bic
from Autodesk.Revit.DB import Transaction, FillPattern, FillPatternEle... | karthi1015/Quality-Management | StructuralIntegrity_step1_script.py | StructuralIntegrity_step1_script.py | py | 4,145 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "clr.AddReference",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "clr.AddReference",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "Autodesk.Revit.DB.FillPatternElement",
"line_number": 51,
"usage_type": "argument"
},
{
"api_name... |
70437856743 | import wikipedia
import numpy as np
import re
import nltk
from nltk.stem import WordNetLemmatizer
import matplotlib.pyplot as plt
import random as rd
import collections
import nltk.data
import nltk
from nltk.tokenize import word_tokenize, sent_tokenize
import random
import pandas as pd
import gensim
from gensim import ... | keeganstlegerdenny/STTM-How-Short-Is-Short | CorporaCreation.py | CorporaCreation.py | py | 3,405 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.download",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "strin... |
18192807224 | import re
import math
import functools
import copy
inFile = open('inputs/11.txt', 'r')
input = inFile.read()
input = map(lambda s: s.split("\n"), input.split("\n\n"))
class Monkey():
def __init__(self, num, items, operation, test, ifTrue, ifFalse):
self.num = num
self.items = items
self.operation = operation
... | keune/aoc-2022 | 11.py | 11.py | py | 2,319 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.search",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 34,
... |
37532715553 | from flask_restful import Resource
from flask import jsonify, abort, request
from backend.app import db, logger, app
from sqlalchemy import exc
from backend.models import Patient, Visit, Lab, Imaging, Appointment
from webargs import fields
from marshmallow import validate
from webargs.flaskparser import parser
from fla... | LedoKun/hiv-clinic-backend | resources/child_resource.py | child_resource.py | py | 11,450 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask_restful.Resource",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "backend.models.Patient.__children__",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "backend.models.Patient",
"line_number": 17,
"usage_type": "name"
},
{... |
15231900014 | import sys
import io
import urllib.request
print('hi')
print('한글')
sys.stdout = io.TextIOWrapper(sys.stdout.detach(), encoding = 'utf-8')
sys.stderr = io.TextIOWrapper(sys.stderr.detach(), encoding = 'utf-8')
imgUrl = "http://blogfiles.naver.net/20130502_54/dbsgusrl77_136748336507323OOv_JPEG/%BF%B5%C8%AD_%C0%BA%B9%D... | leyuri/Crawling | Chapter2/download2-1.py | download2-1.py | py | 1,112 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout.detach",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"lin... |
72466882663 | """
WSGI config for mintemplate project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/howto/deployment/wsgi/
"""
import os
import sys
import site
prev_sys_path = list(sys.path)
root = os.path.normpath(os.p... | kfarr2/Minimal-Template | mintemplate/wsgi.py | wsgi.py | py | 1,128 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_... |
36050060179 | from typing import List, Dict
from aiohttp import ClientSession
from common.decorators import catch_timeout
from web.integrations.email_client.abstract import AbstractEmailClient
from web.integrations.http import BaseHTTPClient
class ClientError(Exception):
pass
class EmailHTTPClient(AbstractEmailClient, Base... | MFrackowiak/sc_r_mailmarketing | web/integrations/email_client/http.py | http.py | py | 1,526 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web.integrations.email_client.abstract.AbstractEmailClient",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "web.integrations.http.BaseHTTPClient",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 18,
... |
2291746376 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: HuHao <huhao1@cmcm.com>
Date: '2018/8/25'
Info:
"""
# 获取系统环境
import os
# 创建app实例和数据库实例
from app import create_app,db
# 获取数据据类模板
from app.models import User,Role,Post,Permission
# 使用 Manage 丰富启动参数支持，和 Shell 环境支持
from flask_script import Manager,Shell
# ... | happy-place/flasky | manage.py | manage.py | py | 3,574 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "coverage.coverage",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.create_app",
... |
2531159065 | from __future__ import print_function,division
import numpy as np
import six.moves.cPickle as pickle
import theano
import theano.tensor as T
from optimize import rmsprop
from lmlp import LMLP
class Simple_Discriminator(object):
def __init__(self,rng,input_fake,input_real,info_layers):
self.input=input_fake... | davikrehalt/WGAN-mod | simple_discriminator.py | simple_discriminator.py | py | 6,543 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lmlp.LMLP",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lmlp.LMLP",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_num... |
28875886668 | from __future__ import absolute_import, unicode_literals
from draftjs_exporter.dom import DOM
from draftjs_exporter.error import ExporterException
from draftjs_exporter.options import Options
class EntityException(ExporterException):
pass
class EntityState:
def __init__(self, entity_decorators, entity_map)... | mohit-n-rajput/BT-Real-Estate | venv/lib/python3.6/site-packages/draftjs_exporter/entity_state.py | entity_state.py | py | 2,098 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "draftjs_exporter.error.ExporterException",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "draftjs_exporter.options.Options.for_entity",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "draftjs_exporter.options.Options",
"line_number": 47,
... |
16413307502 | import googlemaps
import json
import random
from django.conf import settings
from datetime import date as todaysDate
from django.utils.timezone import make_aware
from django.db import models
from usuarios.models import MyUser, Cliente, Transportista, Unidades
from django.urls import reverse
from django.utils import tim... | Zarate96/userTestFS | fletes/models.py | models.py | py | 28,527 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 56,
"usage_type": "name"
},
{
... |
17233781871 | import argparse
rows = 128 ### sliced spectrogram height
cols = 1024 ### sliced spectrogram width
channels = 2
max_width = 10337 ### maximum raw spectrogram width
split_count = 10 ### number of slices per song
epochs = 100
batch_size = 32
spectrogram_features = ['h', 'p'] ### Percussive & harmonic componen... | taprosoft/music-genre-classification | src/config.py | config.py | py | 1,525 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
}
] |
34198323203 | import pytest
from loguru import logger
from pytest_mock import MockerFixture
from fastapi_cloud_logging.fastapi_cloud_logging_handler import FastAPILoggingHandler
@pytest.fixture
def logging_handler(mocker: MockerFixture) -> FastAPILoggingHandler:
return FastAPILoggingHandler(
mocker.Mock(), transport=m... | quoth/fastapi-cloud-logging | tests/test_loguru.py | test_loguru.py | py | 1,376 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pytest_mock.MockerFixture",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fastapi_cloud_logging.fastapi_cloud_logging_handler.FastAPILoggingHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"us... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.